{
\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
\begin{tabular}{l*{3}{c}}
\hline\hline
            &\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}\\
            &\multicolumn{1}{c}{2014-2019}&\multicolumn{1}{c}{2009-2019}&\multicolumn{1}{c}{2009-2019}\\
\hline
2019 election&      -3.131\sym{***}&      -6.359\sym{***}&      -13.67\sym{***}\\
            &     (0.523)         &     (0.565)         &     (0.763)         \\
[1em]
EP election in 2019&       9.660\sym{***}&       6.731\sym{***}&       6.494\sym{***}\\
            &     (0.875)         &     (1.034)         &     (0.997)         \\
[1em]
Ciutadella in 2019&      -3.006\sym{***}&      -8.049\sym{***}&      -7.139\sym{***}\\
            &     (0.656)         &     (0.671)         &     (0.713)         \\
[1em]
EP 2019 x Ciutadella&      -11.58\sym{***}&      -8.321\sym{***}&      -8.084\sym{***}\\
            &     (1.307)         &     (1.369)         &     (1.342)         \\
[1em]
2014-2015 election&                     &                     &      -12.79\sym{***}\\
            &                     &                     &     (0.508)         \\
\hline
\(N\)       &         504         &         730         &         730         \\
\hline\hline
\multicolumn{4}{l}{\footnotesize Standard errors in parentheses}\\
\multicolumn{4}{l}{\footnotesize All models include voting station * election type fixed effects}\\
\multicolumn{4}{l}{\footnotesize Standard errors are clustered by voting station * election type}\\
\multicolumn{4}{l}{\footnotesize \sym{*} \(p<0.10\), \sym{**} \(p<0.05\), \sym{***} \(p<0.01\)}\\
\end{tabular}
}
